Evidence map›Paper›PMID 22438940›Full record

ArticlePloS one2012

Variants located upstream of CHRNB4 on chromosome 15q25.1 are associated with age at onset of daily smoking and habitual smoking.

Manav Kapoor, Jen-Chyong Wang, Sarah Bertelsen, Kathy Bucholz, John P Budde, Anthony Hinrichs, Arpana Agrawal, Andrew Brooks, David Chorlian, Danielle Dick and 14 more

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.

0numbers the graph read from it
0cells of the map it votes in
18citing papers in PubMed
3.0field-weighted citation impact, top 9% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

18 citing papers in PubMed, 28 citations in OpenAlex.

  1. Response to Transdermal Selegiline Smoking Cessation Therapy and Markers in the 15q24 Chromosomal Region.Nicotine & tobacco research : official journal of the Society for Research on Nicotine and Tobacco · 2015
    Trial
  2. Review
  3. Article
  4. Article
  5. Neuroepigenetics and addiction.Handbook of clinical neurology · 2018
    Review
  6. Article
  7. Review
  8. Article
  9. Review
  10. Article
  11. Article
  12. Article
  13. Genetics and smoking.Current addiction reports · 2014
    Article
  14. Article
  15. Article
  16. Article
  17. Article
  18. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

24 authors at 8 institutions in 1 country.

Manav KapoorDepartment of Psychiatry, School of Medicine, Washington University, St Louis, Missouri, United States of America.
Jen-Chyong Wang
Sarah Bertelsen
Kathy Bucholz
John P Budde
Anthony Hinrichs
Arpana Agrawal
Andrew Brooks
David Chorlian
Danielle Dick
Victor Hesselbrock
Tatiana Foroud
John Kramer
Samuel Kuperman
Niklas Manz
John Nurnberger
Bernice Porjesz
John Rice
Jay Tischfield
Xiaoling Xuei
Marc Schuckit
Howard J Edenberg
Laura J Bierut
Alison M Goate
Washington University in St. Louis · USIndiana University – Purdue University Indianapolis · USSUNY Downstate Health Sciences University · USUniversity of Iowa · USRutgers, The State University of New Jersey · USUniversity of California, San Diego · USUniversity of Connecticut · USVirginia Commonwealth University · US

Funding

Subject CollectionU10AA008401 · NIAAA · SUNY DOWNSTATE MEDICAL CENTER · PI JESSICA E SALVATORE · 1989 to 2026
$162.7M
Twin, molecular, and developmental approaches to understanding alcohol misuseK02AA018755 · NIAAA · VIRGINIA COMMONWEALTH UNIVERSITY · PI DICK, DANIELLE M · 2010 to 2019
$1.3M
NIAAA NIH HHS K02 AA018755NIAAA NIH HHS U10 AA008401NIAAA NIH HHS U10AA008401
6 · The paper itself

Abstract

Several genome-wide association and candidate gene studies have linked chromosome 15q24-q25.1 (a region including the CHRNA5-CHRNA3-CHRNB4 gene cluster) with alcohol dependence, nicotine dependence and smoking-related illnesses such as lung cancer and chronic obstructive pulmonary disease. To further examine the impact of these genes on the development of substance use disorders, we tested whether variants within and flanking the CHRNA5-CHRNA3-CHRNB4 gene cluster affect the transition to daily smoking (individuals who smoked cigarettes 4 or more days per week) in a cross sectional sample of adolescents and young adults from the COGA (Collaborative Study of the Genetics of Alcoholism) families. Subjects were recruited from families affected with alcoholism (either as a first or second degree relative) and the comparison families. Participants completed the SSAGA interview, a comprehensive assessment of alcohol and other substance use and related behaviors. Using the Quantitative trait disequilibrium test (QTDT) significant association was detected between age at onset of daily smoking and variants located upstream of CHRNB4. Multivariate analysis using a Cox proportional hazards model further revealed that these variants significantly predict the age at onset of habitual smoking among daily smokers. These variants were not in high linkage disequilibrium (0.28<r(2)<0.56) with variants that have previously been reported to affect risk for nicotine dependence and smoking related diseases in adults. The data suggests that an age-associated relationship underlies the association of SNPs in CHRNB4 with onset of chronic smoking behaviors in adolescents and young adults and may improve genetic information that will lead to better prevention and intervention for substance use disorders among adolescents and young adults.

Indexed as

Polymorphism, Single NucleotideAdolescentAdultAge of OnsetAlcoholismChromosomes, Human, Pair 15Cross-Sectional StudiesFemaleGenetic Predisposition to DiseaseHumansLinkage DisequilibriumMaleMultigene FamilyNerve Tissue ProteinsProportional Hazards ModelsReceptors, NicotinicCHRNA5 protein, humanCHRNB4 protein, humanNerve Tissue ProteinsReceptors, Nicotinic

Identifiers

PMID22438940
PMCPMC3306405
OpenAlexW1966285913

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.